AUC stands for 'Area Under the Curve'. In the context of text classification and sentiment analysis, AUC is a metric used to evaluate the performance of a classification model. It measures the ability of the model to distinguish between positive and negative sentiment correctly. AUC ranges from 0 to 1, where 0 indicates a completely random model, and 1 indicates a perfect model that can classify sentiment with 100% accuracy. A higher AUC value indicates better performance of the model in predicting sentiment.

Understanding AUC for Text Classification and Sentiment Analysis with Microsoft Azure (R Script)

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